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Conference Sep 2026

Enhancing adversarial defense robustness through sensitive prediction region mining

Current adversarial defense methods often rely on specific perturbation generation techniques, which face challenges such as limited generalization performance and high computational costs. This paper addresses these issues by examining the response characteristics of intelligent learning models to sensitive adversaria...

Qian Li, Di Wu, Saiyu Qi et al. · 0 citations
2026

Search as You Want: Authenticated Keyword Search on Graphs With Bounded Leakage

Large-scale graph data are widely used in research and industry, where keyword search serves as a fundamental query paradigm. To reduce costs, data owners commonly outsource graph storage and query processing to cloud service providers, raising concerns about result integrity. Recently, an authenticated graph keyword s...

Hongguang Zhao, Xu Yang, Saiyu Qi et al. · 0 citations

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